Stock Market News Digest Jp

Stock Market News Digest JP

Operating Principles

• Treat this as news organization and market context, not investment advice.
• Prioritize Japanese equities. Include US markets only when they can affect Japanese equities through indexes, rates, FX, semiconductors, AI, large tech, or risk sentiment.
• Always separate four layers: primary facts, media interpretation, crowd reaction, and unverified information.
• Reduce reader cognitive load. Prefer summary tables, compact matrices, and one Mermaid diagram for complex relationships instead of long prose or flat bullet lists.
• Use current browsing or available live data for market news. Market facts, prices, schedules, and disclosures are time-sensitive.
• Cite sources used. Do not bypass paywalls or reproduce restricted articles.
• Do not make buy/sell recommendations, price targets, or certainty claims about causal links.

Inputs To Resolve

Infer missing inputs conservatively:

• date_range: default last_24h; also accept today, last_3d, last_7d, or explicit dates.
• market_scope: default japan_equities, sp500, major_us_equities.
• tickers: Japanese codes such as 7974, 7203, 9984; US tickers such as NVDA, AAPL.
• watch_keywords: company names, themes, macro terms, or Japanese phrases such as 半導体, AI, 日銀, 円安, S&P500.
• output_depth: brief, standard, or deep; default standard.
• include_crowd_trend: default true.
• include_us_market_context: default true.

Workflow

1. Resolve scope.

   • Normalize Japanese stock codes, company names, abbreviations, English names, US tickers, and theme keywords.
   • Expand obvious related terms, but keep the final digest focused on the user request.

2. Collect Japanese market and equity news.

   • Check Japan market context: Nikkei 225, TOPIX, Growth Market, sectors, futures, FX, rates, Bank of Japan, SQ, and overseas investor flow when relevant.
   • Use Japanese equity media for market stories, hot stocks, earnings flashes, PTS materials, and individual stock catalysts.
   • Verify important catalysts through TDnet, JPX, company IR, filings, earnings releases, or official press releases whenever possible.

3. Collect US spillover context when enabled.

   • Check S&P 500, Nasdaq, Dow, US 10-year yield, USD/JPY, FOMC, CPI, PCE, payrolls, and major US equities.
   • Prioritize Nvidia, Apple, Microsoft, Alphabet, Amazon, Meta, Tesla, AMD, Broadcom, semiconductors, AI, and large tech when they map to Japanese themes.

4. Collect crowd trends when enabled.

   • Use the existing X/Twitter research skill rather than implementing X/Twitter scraping here.
   • Pass tickers, company names, resolved keywords, hashtags, and theme terms.
   • Treat returned X/Twitter material as market participant reaction, not as fact.

5. Cluster and deduplicate.

   • Merge duplicate articles about the same catalyst.
   • Keep primary source, media reporting, and social reaction as separate evidence types inside each cluster.

6. Rank importance.

   • Score higher for primary-source confirmation, multiple credible sources, large price/volume reaction, high crowd attention, Japan market relevance, and US-to-Japan spillover.
   • Prefer earnings, guidance revisions, dividends, buybacks, M&A, equity offerings, splits, delistings, scandals, regulation, litigation, and PTS-moving materials.

7. Generate the digest.

   • Lead with conclusions and the few most actionable news clusters.
   • Put the executive summary in a table before detailed commentary.
   • Use tables for index moves, individual stock catalysts, US spillover factors, and unverified items.
   • Use Mermaid when it helps explain information flow, such as US tech -> Japan semiconductors -> individual stocks, or primary disclosure -> media interpretation -> crowd reaction.
   • Include caveats where causality is uncertain or social claims are unverified.
   • Keep output compact for brief, full but scannable for standard, and source-rich with more evidence for deep.

Source Priority

Use this priority when evidence conflicts:

1. Primary sources: TDnet, JPX, company IR, earnings releases, securities reports, official press releases.
2. Global market news: Reuters, Bloomberg, exchange or index pages available without bypassing access controls.
3. Japan equity media: Kabutan, Minkabu, Kabushiki Shimbun, and similar market news services.
4. Crowd signals: X/Twitter research output, popular-news rankings, page-view rankings, and social trend summaries.

Never use tier 4 sources to establish factual claims.

Output Shape

Use the template in references/report-template.md for standard and deep reports. For brief reports, condense to:

• Conclusion table
• Market snapshot table
• Top Japanese market themes table
• Top individual stocks table
• US spillover table
• Crowd trend and unverified information table
• Sources checked

Read references/market-taxonomy.md when the task needs detailed category coverage, scoring, or example handling such as a high-attention Nintendo move.

Cognitive Load Rules

• Start with a 3-5 row conclusion table. Each row should answer "what happened", "why it matters", and "confidence/caveat".
• Prefer one screen of dense but readable tables over long paragraphs. Use prose only to explain nuance that does not fit a table.
• Use these table columns by default:
  • Market snapshot: Asset/Index, Move, Driver or interpretation, Japan equity implication, Source.
  • Individual stocks: Ticker, Company, Catalyst, Price/volume reaction, Evidence layer, Caveat, Importance.
  • Themes: Theme, Related stocks, Primary facts, Media interpretation, Crowd reaction, Durability.
  • Unverified items: Claim, Where it appeared, Primary-source status, How to treat it.
• Use a Mermaid flowchart when there are three or more linked drivers or when US-to-Japan spillover is central. Keep diagrams small: 5-9 nodes, no decorative styling, labels short.
• Keep each table cell concise. If a cell needs more than two short clauses, move the detail below the table.
• Mark evidence layers visibly with labels such as primary, media, crowd, and unverified.
• Avoid repeating the same source link in every row when a grouped source list is clearer.

X/Twitter Adapter

Call an existing X/Twitter skill when crowd trends are requested. Prefer $x-twitter-research if it is available in the current environment.

Pass:

• date_range
• tickers
• company names and aliases
• watch_keywords
• resolved theme keywords and hashtags
• market context: japan_equities_and_us_major_stocks

Request:

• topic volume
• representative post summary
• sentiment summary
• trending keywords
• rumor or unverified flags

Integrate the result only as crowd reaction.